#Claude Code loop command
923 related articles
Tutorials·2 min
Claude Code /loop Command Explained: Usage, Limitations & Comparison of Three Scheduling Solutions
Deep dive into Claude Code's /loop command: how it works, usage methods, key limitations, and a side-by-side comparison with Scheduled Tasks and GitHub Actions.
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·2 min
How Much Work Can You Delegate to AI Agents? A Complete Guide to Delegation Boundaries and Trust Strategies
Explore AI agent delegation boundaries: from code completion to autonomous agents across three levels, analyzing verifiability, error costs, and context to build pragmatic trust strategies.
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·3 min
Complete Guide to Running Claude Code with Ollama: API Error Troubleshooting & Local Model Optimization
Guide to running Claude Code via Ollama locally: troubleshooting API errors, output token limits, model freezes, with model selection, parameter tuning, and alternative tool recommendations.
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·4 min
Pure Vibecoding Builds a 130+ Card Multiplayer CCG: Full AI Tech Stack Breakdown
An indie dev built a 130+ card multiplayer CCG entirely through vibecoding with Claude Code, GPT, and ElevenLabs. Full AI tech stack breakdown and analysis of vibecoding's capabilities and limits.
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·2 min
agent-manager: An Open-Source Tool for Managing Multiple AI Coding Assistants with tmux
agent-manager is a lightweight tmux-based TUI tool that helps developers manage multiple AI coding assistants like Claude Code, Codex, and OpenCode from a unified interface for status monitoring, interaction, and code review.
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·4 min
9 Hours, 4 Million Tokens: AI Creates a Stunning WebGPU Snow Rendering Masterpiece with Claude Code
Reddit user Noniv used Claude Code with the Opus model to build SNOWFLOW, a stunning WebGPU real-time snow renderer, in just 9 hours using 4 million tokens. A deep dive into prompt strategy, snow shaders, and performance optimization.
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·2 min
CodeCrucible: A New Paradigm for LLM-Driven Static Code Security Analysis
Explore how CodeCrucible uses LLMs to revolutionize static code security analysis (SAST), comparing traditional tool limitations with semantic-driven vulnerability detection.
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·2 min
CodeCrucible: A New Paradigm for LLM-Driven Static Code Security Analysis
Explore how CodeCrucible uses LLMs to revolutionize static code security analysis (SAST), comparing traditional tool limitations with semantic-driven vulnerability detection approaches.
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·3 min
Gemini Managed Agents API Update: Environment Hooks and Free Tier Fully Explained
Google Gemini Managed Agents API introduces environment hooks, model selection, free tier support, and default model upgrades—empowering AI Agent developers with stronger execution control and lower barriers to entry.
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·3 min
Lessons from Claude Code's 80% Prompt Reduction: Less Is More in Prompt Engineering
Anthropic cut Claude Code's system prompt by 80% and got better performance. Learn why verbose prompts hurt, how to streamline them, and key takeaways for AI developers.
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·3 min
Lessons from Claude Code's 80% Prompt Reduction: Less Is More in Prompt Engineering
Anthropic cut Claude Code's system prompt by 80% and got better results. Learn why verbose prompts hurt performance, how to streamline them, and key lessons for AI developers.
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·4 min
Getting Started with Claude Code: Environment Setup, Common Commands, and Git Workflow in Practice
A detailed guide to Claude Code installation, domestic model switching, project analysis commands, and Git workflow practice to help developers quickly master this AI programming collaboration tool.
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·3 min
Claude Code vs Codex: Hands-On Comparison and Installation Guide for AI Programming Tools
In-depth comparison of Claude Code and Codex AI programming tools covering accuracy, installation, and network setup tips to help developers choose the best solution.
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·5 min
Loop Engineering Explained: The New Programming Paradigm Where AI Prompts Itself
Loop Engineering is a paradigm shift in AI usage. Learn how to build automated loops where agents explore, execute, and verify tasks autonomously, with a hands-on e-commerce case study.
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·6 min
Harness Engineering: From Context Engineering to the Third Phase of AI Programming
Explore Harness Engineering: the next evolution beyond context engineering for AI programming. Learn how to build enterprise-grade Skill systems and deliver real projects with mid-tier models.
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·3 min
Learning AI Large Language Models: A Complete Roadmap from Beginner to Practitioner
A systematic breakdown of the AI LLM learning roadmap covering prompt engineering, AI Agent development, RAG knowledge bases, model fine-tuning, and hands-on projects for beginners.
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·5 min
Learn AI Agent Development from Scratch: A 3-Step Practical Path to Get Started Quickly
How to learn AI Agent development from scratch? This article outlines a clear 3-step path: Python crash course, LLM theory & practice, and LangChain framework project implementation.
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·2 min
A Beginner's Guide to Vibe Coding: Building Your Career Moat with AI Programming
A detailed guide to Vibe Coding with AI programming tools like Claude Code, Cursor, and Codex. Learn how to leverage AI-driven development to ship products independently and build lasting career value.
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·3 min
ChatGPT Autonomous Ticket Hunting in Action: AI Agent Auto-Monitoring and Ticket Purchase Demo
Demo of ChatGPT Work as an AI Agent autonomously browsing AMC's website for IMAX tickets, setting hourly auto-checks for cancellations, and sending notifications.
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·5 min
Running GPT-5.6 Inside Claude Code: Best Practices for Subagent Orchestration and System Prompts
Deep dive into running OpenAI GPT-5.6 inside Claude Code: comparing Codex vs Claude Code on subagent orchestration, workflow design, and system prompt quality, revealing how harness engineering determines model output.
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